CN103576004A - Voltage phase-lack algorithm in measurement abnormality analysis system - Google Patents

Abstract

The invention discloses a voltage phase-lack algorithm in a measurement abnormality analysis system. Through a mathematical statistic analysis mode, a data model achieves high automatic judgment on a result, the smoothness of time is achieved, through theoretical analysis and practice verification, precise event judgment can be achieved, the workload of manually carrying out data judgment and statistic analysis is reduced to a large extent, work efficiency is improved, the analysis base of data is achieved, and the timeliness and the accuracy of phase-lack event judgment are effectively guaranteed. Based on an on-line measurement abnormality monitor system, auxiliary information is provided for the safe, reliable and economic operation of a distributed power grid, and therefore guidance is provided for the power supply service with higher reliability.

Description

Voltage phase shortage algorithm in metering exception analysis system

Technical field

The present invention relates to electrical network distribution multiplexe electric technology field, relate in particular to a kind of voltage phase shortage algorithm measuring in exception analysis system.

Background technology

Along with deepening continuously and the continuous growth of acquisition terminal installation rate and image data amount of power information acquisition system construction, system possesses the basis of measuring apparatus being carried out to on-line monitoring ability and intelligent diagnostics.The on-line monitoring of measuring apparatus and intelligent diagnostics software (hereinafter to be referred as metering on-line monitoring) make full use of the data of enriching that acquisition platform provides, realization is carried out on-line monitoring to voltage, current transformer and the secondary circuit of electric energy meter, metering use, electric energy metering cabinet, case etc., situ metrology is located extremely fast and is fixed a point and investigate.Guarantee the accuracy of electric power meter, improve the recovery of electric power enterprise fund, to promoting confession, electricity consumption both sides to reduce consumption, save the energy, strengthen business accounting, alleviate the staff's of specialized department such as measurement centre, power utility check workload, improve enterprise operation and management and increase economic efficiency, all play very important meaning.

Voltage phase shortage algorithm in conventional metered dose exception analysis system, substantially by manual analysis and judgement, mainly relies on direct feel to carry out the artificial compare of analysis of data, in a large amount of data, analyzes, and has not only been difficult to judgement fast but also has easily caused that staff's is tired out.Even if having the system of part to realize computing machine comparison, but its algorithm is only simple comparison, in state judgement, there is very large wrong report problem.

Summary of the invention

The object of the invention is exactly in order to make up the defect of prior art, and a kind of voltage phase shortage algorithm measuring in exception analysis system is provided.

The present invention is achieved by the following technical solutions:

A voltage phase shortage algorithm in exception analysis system, in massive quantity power supply and measurement state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A, C phase voltage sum are less than 160V simultaneously lower than 60V for A phase or C phase voltage;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height, in low meter state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is made as exhaustive events group { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and

for the data that meet abnormal voltage non-full-phase state, be made as random voltage phase shortage event H, total probability

p(θ j) >0, in exhaustive events group, { probability that in θ j}, random voltage phase shortage event H occurs is

$P\left(\mathrm{\θj}\right|H)=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{P\left(H\right)}=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{{\mathrm{\Σ}}_{j=1}^{n}P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})},$ (j=1,2,3 ..., n; P(H) >0), get n >=30, θ j is the image data at interval of 15 minutes, when in exhaustive events group, { during probability P (θ j|H) >0.95 that in θ j}, random voltage phase shortage event H occurs, voltage phase shortage event is set up.

Advantage of the present invention is: the present invention is by the mode of Mathematical Statistics Analysis, realize data model, result is carried out to highly automated judgement, and there is the flatness of time, by theoretical analysis and practical proof, can realize accurate event judgement, significantly reduce and manually carry out data judgement and statistic analysis amount, improve work efficiency, and realized the analysis foundation of data, effectively guaranteed promptness and the accuracy of voltage phase shortage event judgement; And based on on-line metering exception monitoring system, for the safe and reliable and economical operation of adapted electrical network provides supplementary, thereby for providing the more power supply service of high reliability that guidance is provided.

Embodiment

A voltage phase shortage algorithm in exception analysis system, in massive quantity power supply and measurement state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A, C phase voltage sum are less than 160V simultaneously lower than 60V for A phase or C phase voltage;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height, in low meter state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is made as exhaustive events group { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and

for the data that meet abnormal voltage non-full-phase state, be made as random voltage phase shortage event H, total probability p(θ j) >0, in exhaustive events group, { probability that in θ j}, random voltage phase shortage event H occurs is $P\left(\mathrm{\θj}\right|H)=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{P\left(H\right)}=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{{\mathrm{\Σ}}_{j=1}^{n}P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})},$ (j=1,2,3 ..., n; P(H) >0), get n >=30, θ j is the image data at interval of 15 minutes, when in exhaustive events group, { during probability P (θ j|H) >0.95 that in θ j}, random voltage phase shortage event H occurs, voltage phase shortage event is set up.

Claims (1)

1. measure the voltage phase shortage algorithm in exception analysis system, it is characterized in that: in massive quantity power supply and measurement state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A, C phase voltage sum are less than 160V simultaneously lower than 60V for A phase or C phase voltage;

(2) A phase or C phase voltage are greater than 70V, and A phase or C phase voltage are less than 80V;

At height, in low meter state, what one of meet the following conditions is abnormal voltage non-full-phase state:

(1) A phase voltage is less than 150V;

(2) B phase voltage is less than 150V;

(3) C phase voltage is less than 150V;

The acquisition system image data of metering system, for data analysis provides input data set, input data set has discreteness, is made as exhaustive events group { θ j}, (j=1,2,3 ..., n), and the θ i ∩ θ j=φ that satisfies condition, (i, j=1,2,3 ..., n; I ≠ j) and for the data that meet abnormal voltage non-full-phase state, be made as random voltage phase shortage event H, total probability

p(θ j) >0, in exhaustive events group, { probability that in θ j}, random voltage phase shortage event H occurs is $P\left(\mathrm{\θj}\right|H)=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{P\left(H\right)}=\frac{P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})}{{\mathrm{\Σ}}_{j=1}^{n}P\left(\mathrm{\θj}\right)P\left(H\right|\mathrm{\θj})},$ (j=1,2,3 ..., n; P(H) >0), get n >=30, θ j is the image data at interval of 15 minutes, when in exhaustive events group, { during probability P (θ j|H) >0.95 that in θ j}, random voltage phase shortage event H occurs, voltage phase shortage event is set up.